Data Sources
Starter (required only): a useful audit based on CRM state and call evidence — qualification scores backed by what was said on calls, with the gaps the rep hasn’t surfaced.
Full (required + recommended): the same audit, plus important context such as email engagement patterns and any Slack activity from your team or shared customer channels. Same workflow — significantly more signal.
See the Customer Context Graph for how each source feeds the brief.
Build in Claude or ChatGPT
For teams scoring deals on demand through Claude or ChatGPT. Output appears in your conversation.The Prompt
Open Claude or ChatGPT with the Clearskies MCP connected and paste this (or modify to your needs). Replace the account name with your own.Make it yours
- Add
Use SPICED instead of MEDDPICC(or BANT, or your custom criteria) to switch methodologies. - Add
Compare this audit to what's logged in CRMto surface optimism bias. - Add
Show me what the rep should focus on this weekto chain audit with action.
The Skill (Claude)
Theclearskies:meddic skill in the Clearskies plugin for Claude runs the same workflow on demand: an evidence-backed audit against your methodology, with scores for every criterion and the gaps that need movement — all from your Context Graph.
Trigger phrases
- “Score [account] against MEDDPICC”
- “MEDDPICC audit for [account]”
- “Qualify the [account] deal”
Customize it for your team
- Match the methodology to your team’s framework
- Set thresholds for Weak / Partial / Strong on each criterion
- Define which criteria are deal-blockers vs. nice-to-haves
The Plugin
Ready to make this part of your team’s workflow? We’ll set up the Clearskies plugin with you — Clearskies workflows, Claude skills, all tailored to how your team works. Book 15 minutes →Next steps
- Sign in to Clearskies
- Connect your data sources
- Get your Clearskies MCP server and try with Claude or ChatGPT